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An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network
Published 2020“…This article proposes an infrastructure-assisted task scheduling scheme where the roadside unit receives computational tasks from different sources and schedules these tasks over a computationally capable vehicle residing within the roadside unit’s range. …”
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An effective solution to thermal-aware test scheduling on network-on-chip using multiple clock rates
Published 2017“…In this paper, a simulated annealing algorithm for thermal and power-aware test scheduling of cores in a NoC-based SoC using multiple clock rates is presented. …”
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23
An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
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24
Spider monkey optimizations: application review and results
Published 2024“…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …”
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25
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
Published 2020“…Moreover, different types of renewable energy sources including wind turbine, solar panel and fuel cell are modeled and considered in the scheduling process of the hybrid microgrid. …”
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
Published 2011Get full text
doctoralThesis -
27
Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach
Published 2024“…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …”
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Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams
Published 2021“…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …”
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Fixed set search applied to the multi-objective minimum weighted vertex cover problem
Published 2022“…In recent publications, its efficiency has been shown on different types of combinatorial optimization problems like routing, machine scheduling and covering. …”
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30
Low Cost Autopilot Design Using Fuzzy Supervisory Control
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doctoralThesis -
31
A MIMO Sampling-Rate-Dependent Controller
Published 2014“…Performance is compared to a PID controller with fuzzy gain scheduling, four multivariable PID controllers, an H ∞ optimal controller, and an iterative-learning-control algorithm.…”
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…To evaluate the modified CHIO, twosets of data sets are used: the first data set has ten Synthetic CVRP models while the second is an ABEFMPdata set which has 27 instances with different models. Moreover, the results achieved by modified CHIOare compared against the results of other 13 well-regarded algorithms. …”
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
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doctoralThesis -
35
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…These impractical predictions would compromise the scheduling and control decisions made based on them. …”
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Uplink Noma in UAV-Assisted IoT Networks
Published 2022“…The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …”
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37
Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy
Published 2020“…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …”
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Big Data Energy Management, Analytics and Visualization for Residential Areas
Published 2020“…This serves as a nudge in consumer's behavior to schedule their home appliances operation according to their local community consumption profile and trend. …”
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An optimization approach to increasing sustainability and enhancing resilience against environmental constraints in LNG supply chains: A Qatar case study
Published 2022“…Five scenarios are investigated in terms of vessel types (Conventional, Q-Flex, Q-Max, and mixed fleet), delivery operation modes (single discharge and multi-discharge), and different bunker fuels (HFO, LNG, and dual-fuel). The Mixed Integer Programming model is used to schedule, assign and deliver a fixed number of LNG cargoes within one month considering total transportation costs and emissions. …”
